Chapter 8: Parallel Processing
With parallel processing using multiple cores, you can increase the number of calculations your program can do in a given time frame without needing a faster processor. The main idea is to divide a problem into independent subunits and use multiple cores to solve those subunits in parallel.
Parallel processing is necessary to tackle large-scale problems. Every day, companies produce massive quantities of data that needs to be stored in multiple computers and analyzed. Scientists and engineers run parallel code on supercomputers to simulate massive systems.
Parallel processing allows you to take advantage of multicore central processing units (CPUs) as well as graphics processing units (GPUs) that work extremely well with highly parallel problems.
In this chapter, we will cover the following topics:
- Introduction to parallel programming
- Using multiple processes
- Parallel Cython with Open Multi-Processing (OpenMP)
- Automatic parallelism...
